A moving objects detection algorithm using iterative division and Gaussian mixture model

In the fields of intelligent video surveillance, video analysis and computer vision, moving objects detection is one of the fundamental tasks. In this paper, we present an algorithm for moving objects detection based on Gaussian mixture model and iterative division, which can be used for real time processing. We use iterative division algorithm to filter illumination variation and local variations. Then, GMM is used to update background and get pixel level precision. Experimental results show that our method, by the combination of iterative division and GMM, is able to overcome deficiency of tradition method and gain good detection results.